[PDF][PDF] Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives
Radiomics, which involves the use of high-dimensional quantitative imaging features for
predictive purposes, is a powerful tool for developing and testing medical hypotheses …
predictive purposes, is a powerful tool for developing and testing medical hypotheses …
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Purpose The aim of this systematic review was to analyse literature on artificial intelligence
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
Objectives To evaluate radiomics studies according to radiomics quality score (RQS) and
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …
Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging
AAK Abdel Razek, A Alksas, M Shehata… - Insights into …, 2021 - Springer
This article is a comprehensive review of the basic background, technique, and clinical
applications of artificial intelligence (AI) and radiomics in the field of neuro-oncology. A …
applications of artificial intelligence (AI) and radiomics in the field of neuro-oncology. A …
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients
Gliomas can be classified into five molecular groups based on the status of IDH mutation,
1p/19q codeletion, and TERT promoter mutation, whereas they need to be obtained by …
1p/19q codeletion, and TERT promoter mutation, whereas they need to be obtained by …
MRI biomarkers in neuro-oncology
M Smits - Nature Reviews Neurology, 2021 - nature.com
The central role of MRI in neuro-oncology is undisputed. The technique is used, both in
clinical practice and in clinical trials, to diagnose and monitor disease activity, support …
clinical practice and in clinical trials, to diagnose and monitor disease activity, support …
Oncolytic viro-immunotherapy: an emerging option in the treatment of gliomas
J Zeng, X Li, M Sander, H Zhang, G Yan… - Frontiers in …, 2021 - frontiersin.org
The prognosis of malignant gliomas remains poor, with median survival fewer than 20
months and a 5-year survival rate merely 5%. Their primary location in the central nervous …
months and a 5-year survival rate merely 5%. Their primary location in the central nervous …
Radiomics in neuro-oncology: Basics, workflow, and applications
P Lohmann, N Galldiks, M Kocher, A Heinzel, CP Filss… - Methods, 2021 - Elsevier
Over the last years, the amount, variety, and complexity of neuroimaging data acquired in
patients with brain tumors for routine clinical purposes and the resulting number of imaging …
patients with brain tumors for routine clinical purposes and the resulting number of imaging …
A systematic review reporting quality of radiomics research in neuro-oncology: toward clinical utility and quality improvement using high-dimensional imaging features
Background To evaluate radiomics analysis in neuro-oncologic studies according to a
radiomics quality score (RQS) system to find room for improvement in clinical use. Methods …
radiomics quality score (RQS) system to find room for improvement in clinical use. Methods …
FET PET radiomics for differentiating pseudoprogression from early tumor progression in glioma patients post-chemoradiation
Simple Summary Following chemoradiation with alkylating agents in glioma patients,
structural magnetic resonance imaging (MRI) may suggest tumor progression which …
structural magnetic resonance imaging (MRI) may suggest tumor progression which …